Major advancements are being made in the field of Facial Recognition but the technology is still in the early stages of development. Right now, it is possible to accurately identify persons from a series of images provided if we have a small database from which the algorithm has to search from but if the database goes extensive with images of many persons, the time for the person to be identified can exceed by a huge margin.

And in practical scenarios, we need results in a matter of seconds or so. Therefore it is not convenient to deploy this tech right now but it still presents a promising future in the area of crime fighting and tracking of fugitives.

However keeping in view the rapid advancement in technology and the advent of new algorithms in this particular domain, there are significant use cases of Facial Recognition particular in criminal combat. Read More

Researchers developed a tool called Geneva (short for Genetic Evasion), which automatically learns to circumvent censorship. Tested in China, India and Kazakhstan, Geneva found dozens of ways to circumvent censorship by exploiting gaps in censors’ logic and finding bugs that the researchers say would have been virtually impossible to find manually. Read More

#surveillance